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In business, engineering, and manufacturing, quality – or high quality – has a pragmatic interpretation as the non-inferiority or superiority of something (goods or services); it is also defined as being suitable for the intended purpose (fitness for purpose) while satisfying customer expectations.
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The dimension of conformance depicts to what extent a product’s design and operating characteristics meet established standards. This dimension owes the most to the traditional approaches to quality pioneered by experts like Juran. [6] Customers usually associate high quality with a product that exactly meets its requirements.
Decision quality (DQ) is the quality of a decision at the moment the decision is made, regardless of its outcome. Decision quality concepts permit the assurance of both effectiveness and efficiency in analyzing decision problems. [1] In that sense, decision quality can be seen as an extension to decision analysis. Decision quality also ...
There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". [ 1 ] [ 2 ] [ 3 ] Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers.
A thesaurus or synonym dictionary lists similar or related words; these are often, but not always, synonyms. [15] The word poecilonym is a rare synonym of the word synonym. It is not entered in most major dictionaries and is a curiosity or piece of trivia for being an autological word because of its meta quality as a synonym of synonym.
Quality engineering is the discipline of engineering concerned with the principles and practice of product and service quality assurance and control. [1] In software development, it is the management, development, operation and maintenance of IT systems and enterprise architectures with high quality standard.
An alternative to complex QoS control mechanisms is to provide high quality communication by generously over-provisioning a network so that capacity is based on peak traffic load estimates. This approach is simple for networks with predictable peak loads.